scholarly journals A mechanistic model of linkage analysis in allohexaploids

2015 ◽  
Author(s):  
Huan Li ◽  
Xuli Zhu ◽  
Ke Mao ◽  
Rongling Wu ◽  
Qin Yan
Keyword(s):  
Linkage Analysis ◽  
Mechanistic Model ◽  
Genome Structure ◽  
Real Data ◽  
Biological Research ◽  
Preferential Pairing ◽  
Modeling Framework ◽  
Ploidy Levels ◽  
The Em Algorithm ◽  
And Function

Despite their pivotal role in agriculture and biological research, polyploids, a group of organisms with more than two sets of chromosomes, are very difficult to study. Increasing studies have used high-density genetic linkage maps to investigate the genome structure and function of polyploids and to identify genes underlying polyploid traits. However, although models for linkage analysis have been well established for diploids, with some essential modifications for tetraploids, no models have been available thus far for polyploids at higher ploidy levels. The linkage analysis of polyploids typically requires knowledge about their meiotic mechanisms, depending on the origin of polyplody. Here we describe a computational modeling framework for linkage analysis in allohexaploids by integrating their preferential chromosomal-pairing meiotic feature into a mixture model setting. The framework, implemented with the EM algorithm, allows the simultaneous estimates of preferential pairing factors and the recombination fraction. We investigated statistical properties of the framework through extensive computer simulation and validated its usefulness and utility by analyzing a real data from a full-sib family of allohexaploid persimmon. Our attempt in linkage analysis of allohexaploids by incorporating their meiotic mechanism lays a foundation for allohexaploid genetic mapping and also provides a new horizon to explore allohexaploid parental kinship.

scholarly journals A Multivalent Pairing Model of Linkage Analysis in Autotetraploids

Genetics ◽  
2001 ◽  
Vol 159 (3) ◽  
pp. 1339-1350 ◽  
Author(s):  
Samuel S Wu ◽  
Rongling Wu ◽  
Chang-Xing Ma ◽  
Zhao-Bang Zeng ◽  
Mark C K Yang ◽  
...  
Keyword(s):  
Linkage Analysis ◽  
Linkage Mapping ◽  
Genome Structure ◽  
Likelihood Estimation ◽  
Simulation Studies ◽  
Polyploid Species ◽  
Homologous Chromosomes ◽  
Evolutionary Diversification ◽  
The Em Algorithm ◽  
Pairing Model

Abstract Polyploidy has been recognized as an important step in the evolutionary diversification of flowering plants and may have a significant impact on plant breeding. Statistical analyses for linkage mapping in polyploid species can be difficult due to considerable complexities in polysomic inheritance. In this article, we develop a novel statistical method for linkage analysis of polymorphic markers in a full-sib family of autotetraploids. This method is established on multivalent pairings of homologous chromosomes at meiosis and can provide a simultaneous maximum-likelihood estimation of the double reduction frequencies of and recombination fraction between two markers. The EM algorithm is implemented to provide a tractable way for estimating relative proportions of different modes of gamete formation that generate identical gamete genotypes due to multivalent pairings. Extensive simulation studies were performed to demonstrate the statistical properties of this method. The implications of the new method for understanding the genome structure and organization of polyploid species are discussed.

scholarly journals A Chromosome-Scale Assembly of the En ormous (32 Gb) Axolotl Genome

2018 ◽  
Author(s):  
Jeramiah J. Smith ◽  
Nataliya Timoshevskaya ◽  
Vladimir A. Timoshevskiy ◽  
Melissa C. Keinath ◽  
Drew Hardy ◽  
...  
Keyword(s):  
Large Scale ◽  
Genome Structure ◽  
Large Deletion ◽  
Ambystoma Mexicanum ◽  
Biological Research ◽  
Genome Wide ◽  
Genetic Stocks ◽  
Gene Structures ◽  
And Function ◽  
Genome Assemblies

ABSTRACTThe axolotl (Ambystoma mexicanum) provides critical models for studying regeneration, evolution and development. However, its large genome (~32 gigabases) presents a formidable barrier to genetic analyses. Recent efforts have yielded genome assemblies consisting of thousands of unordered scaffolds that resolve gene structures, but do not yet permit large scale analyses of genome structure and function. We adapted an established mapping approach to leverage dense SNP typing information and for the first time assemble the axolotl genome into 14 chromosomes. Moreover, we used fluorescence in situ hybridization to verify the structure of these 14 scaffolds and assign each to its corresponding physical chromosome. This new assembly covers 27.3 gigabases and encompasses 94% of annotated gene models on chromosomal scaffolds. We show the assembly’s utility by resolving genome-wide orthologies between the axolotl and other vertebrates, identifying the footprints of historical introgression events that occurred during the development of axolotl genetic stocks, and precisely mapping several phenotypes including a large deletion underlying the cardiac mutant. This chromosome-scale assembly will greatly facilitate studies of the axolotl in biological research.

scholarly journals Impact of DNA methylation on 3D genome structure

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Diana Buitrago ◽  
Mireia Labrador ◽  
Juan Pablo Arcon ◽  
Rafael Lema ◽  
Oscar Flores ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Chromatin Structure ◽  
Chromatin Condensation ◽  
Genome Structure ◽  
Dna Methyltransferases ◽  
Model System ◽  
Structure And Function ◽  
3D Genome ◽  
Cellular Machinery ◽  
And Function

AbstractDetermining the effect of DNA methylation on chromatin structure and function in higher organisms is challenging due to the extreme complexity of epigenetic regulation. We studied a simpler model system, budding yeast, that lacks DNA methylation machinery making it a perfect model system to study the intrinsic role of DNA methylation in chromatin structure and function. We expressed the murine DNA methyltransferases in Saccharomyces cerevisiae and analyzed the correlation between DNA methylation, nucleosome positioning, gene expression and 3D genome organization. Despite lacking the machinery for positioning and reading methylation marks, induced DNA methylation follows a conserved pattern with low methylation levels at the 5’ end of the gene increasing gradually toward the 3’ end, with concentration of methylated DNA in linkers and nucleosome free regions, and with actively expressed genes showing low and high levels of methylation at transcription start and terminating sites respectively, mimicking the patterns seen in mammals. We also see that DNA methylation increases chromatin condensation in peri-centromeric regions, decreases overall DNA flexibility, and favors the heterochromatin state. Taken together, these results demonstrate that methylation intrinsically modulates chromatin structure and function even in the absence of cellular machinery evolved to recognize and process the methylation signal.

scholarly journals CNV-BAC: Copy number Variation Detection in Bacterial Circular Genome

2020 ◽  
Vol 36 (12) ◽  
pp. 3890-3891
Author(s):  
Linjie Wu ◽  
Han Wang ◽  
Yuchao Xia ◽  
Ruibin Xi
Keyword(s):  
Copy Number Variation ◽  
Copy Number ◽  
Genome Structure ◽  
Real Data ◽  
Read Depth ◽  
Supplementary Information ◽  
Circular Genome ◽  
Number Variation ◽  
Copy Number Variation Detection ◽  
Cnv Detection

Abstract Motivation Whole-genome sequencing (WGS) is widely used for copy number variation (CNV) detection. However, for most bacteria, their circular genome structure and high replication rate make reads more enriched near the replication origin. CNV detection based on read depth could be seriously influenced by such replication bias. Results We show that the replication bias is widespread using ∼200 bacterial WGS data. We develop CNV-BAC (CNV-Bacteria) that can properly normalize the replication bias and other known biases in bacterial WGS data and can accurately detect CNVs. Simulation and real data analysis show that CNV-BAC achieves the best performance in CNV detection compared with available algorithms. Availability and implementation CNV-BAC is available at https://github.com/XiDsLab/CNV-BAC. Supplementary information Supplementary data are available at Bioinformatics online.

Wheat genome structure and function: genome sequence data and the International Wheat Genome Sequencing Consortium

2007 ◽  
Vol 58 (6) ◽  
pp. 470 ◽  
Author(s):  
P. Moolhuijzen ◽  
D. S. Dunn ◽  
M. Bellgard ◽  
M. Carter ◽  
J. Jia ◽  
...  
Keyword(s):  
Genome Sequencing ◽  
Physical Map ◽  
Genome Structure ◽  
Genetic Research ◽  
Structure And Function ◽  
Wheat Genome ◽  
D Genome ◽  
Genome Sequencing Consortium ◽  
And Function ◽  
Bac Contigs

Genome sequencing and the associated bioinformatics is now a widely accepted research tool for accelerating genetic research and the analysis of genome structure and function of wheat because it leverages similar work from other crops and plants. The International Wheat Genome Sequencing Consortium addresses the challenge of wheat genome structure and function and builds on the research efforts of Professor Bob McIntosh in the genetics of wheat. Currently, expressed sequence tags (ESTs; ~500 000 to date) are the largest sequence resource for wheat genome analyses. It is estimated that the gene coverage of the wheat EST collection is ~60%, close to that of Arabidopsis, indicating that ~40% of wheat genes are not represented in EST collections. The physical map of the D-genome donor species Aegilops tauschii is under construction (http://wheat.pw.usda.gov/PhysicalMapping). The technologies developed in this analysis of the D genome provide a good model for the approach to the entire wheat genome, namely compiling BAC contigs, assigning these BAC contigs to addresses in a high resolution genetic map, filling in gaps to obtain the entire physical length of a chromosome, and then large-scale sequencing.

scholarly journals Slash Truncation Positive Normal Distribution and Its Estimation Based on the EM Algorithm

Symmetry ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2164
Author(s):  
Héctor J. Gómez ◽  
Diego I. Gallardo ◽  
Karol I. Santoro
Keyword(s):  
Expectation Maximization Algorithm ◽  
Likelihood Estimation ◽  
Real Data ◽  
Simulation Studies ◽  
R Software ◽  
Data Application ◽  
The Em Algorithm ◽  
Kurtosis Parameter ◽  
Computational Implementation ◽  
Moments Method

In this paper, we present an extension of the truncated positive normal (TPN) distribution to model positive data with a high kurtosis. The new model is defined as the quotient between two random variables: the TPN distribution (numerator) and the power of a standard uniform distribution (denominator). The resulting model has greater kurtosis than the TPN distribution. We studied some properties of the distribution, such as moments, asymmetry, and kurtosis. Parameter estimation is based on the moments method, and maximum likelihood estimation uses the expectation-maximization algorithm. We performed some simulation studies to assess the recovery parameters and illustrate the model with a real data application related to body weight. The computational implementation of this work was included in the tpn package of the R software.

scholarly journals Histone chaperone FACT and curaxins: effects on genome structure and function

2019 ◽  
Vol 2019 ◽  
Author(s):  
Han-Wen Chang ◽  
Ekaterina V. Nizovtseva ◽  
Sergey V. Razin ◽  
Tim Formosa ◽  
Katerina V. Gurova ◽  
...  
Keyword(s):  
Genome Structure ◽  
Histone Chaperone ◽  
Structure And Function ◽  
And Function

scholarly journals A Deep Dive into Genome Assemblies of Non-vertebrate Animals

2021 ◽  
Author(s):  
Nadège Guiglielmoni ◽  
Ramón Rivera-Vicéns ◽  
Romain Koszul ◽  
Jean-François Flot
Keyword(s):  
Genome Assembly ◽  
Current Knowledge ◽  
Genome Structure ◽  
Deep Dive ◽  
Sequencing Technologies ◽  
Current State ◽  
Animal Diversity ◽  
And Function ◽  
Genome Assemblies ◽  
Genome Projects

Non-vertebrate species represent about ~95% of known metazoan (animal) diversity. They remain to this day relatively unexplored genetically, but understanding their genome structure and function is pivotal for expanding our current knowledge of evolution, ecology and biodiversity. Following the continuous improvements and decreasing costs of sequencing technologies, many genome assembly tools have been released, leading to a significant amount of genome projects being completed in recent years. In this review, we examine the current state of genome projects of non-vertebrate animal species. We present an overview of available sequencing technologies, assembly approaches, as well as pre and post-processing steps, genome assembly evaluation methods, and their application to non-vertebrate animal genomes.

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